Optimization is almost finished. I’m still waiting on the results for 3.3.2, but it keeps crashing due to HPC issues (one of the nodes is lagging). Once I have these results subset 1 (birds with access to 1 energy proxy) will be finished.
The current run includes the following settings:
First, I want to inspect the survival of the different models. This is the most straightforward way to look at model performance.
In general survival is best for models with line_id = 2.
These are the leftover-hoarding models. These are generally followed by
the direct-hoarding models (linetype = 3 or 4). The
non-hoarding models do worst in general. The best performing model over
all is 1.2, which is the stomach-content leftover hoarder. This graph,
however, is not very informative as results are averaged across all 12
environments of which the temperatures, food distibutions and food
predictability vary.
The following graph splits survival up across the 12 environments. Each line still represents 1 model which is a run of 1000 individuals across 30 days (2160 timesteps). Note that you can use the mouse cursor to find exact values. Use the buttons in the right top corner to zoom in/out, etc. I’ve made the following initial observations: